# Explosive transitions induced by interdependent contagion-consensus dynamics in multiplex networks

## TL;DR

This paper models the interplay between information spread and opinion formation in multiplex networks, revealing that strong coupling can cause simultaneous explosive transitions in both processes, leading to bi-stability.

## Contribution

It introduces a coupled multiplex network model linking information spreading and consensus dynamics, demonstrating the occurrence of double explosive transitions.

## Key findings

- Strong coupling induces simultaneous explosive transitions.
- Bi-stability regions emerge with stable consensus-informed and disagreement-ignorant states.
- Analytical and numerical results confirm the explosive phenomena.

## Abstract

We introduce a model to study the delicate relation between the spreading of information and the formation of opinions in social systems. For this purpose, we propose a two-layer multiplex network model in which consensus dynamics takes place in one layer while information spreading runs across the other one. The two dynamical processes are mutually coupled by considering that the control parameters that govern the dynamical evolution of the state of the nodes inside each layer depend on the dynamical states at the other layer. In particular, we explore the scenario in which consensus is favored by the common adoption of information while information spreading is boosted between agents sharing similar opinions. Numerical simulations together with some analytical results point out that, when the coupling between the dynamics of the two layers is strong enough, a double explosive transition, i.e. an explosive transition both for consensus dynamics and for the information spreading appears. Such explosive transitions lead to bi-stability regions in which the consensus-informed stated and the disagreement-ignorant states are both stable solutions.